Trial-by-trial motor adaptation: a window into elemental neural computation

Progress in Brain Research

Volumn 165, Issue , 2007, Pages 373-382

  Thoroughman, Kurt A ^a   Fine, Michael S ^a   Taylor, Jordan A ^a  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

generalization; motor control; motor learning; neural network; psychophysics; reaching

Indexed keywords

ADAPTATION; BRAIN NERVE CELL; CENTRAL NERVOUS SYSTEM; COMPREHENSION; CORRELATION ANALYSIS; DYNAMICS; ENVIRONMENT; ERROR; HUMAN; LEARNING; LOCOMOTION; MOTOR CONTROL; MOTOR SYSTEM; MOVEMENT (PHYSIOLOGY); PRIORITY JOURNAL; REVIEW;

ADAPTATION, PHYSIOLOGICAL; COMPUTER SIMULATION; HUMANS; LEARNING; MODELS, NEUROLOGICAL; MOVEMENT;

EID: 34848827389     PISSN: 00796123     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0079-6123(06)65023-1     Document Type: Review

References (42)

1. Atkeson C.G. Learning arm kinematics and dynamics. Annu. Rev. Neurosci. 12 (1989) 157-183
2. Brashers-Krug T., Shadmehr R., and Bizzi E. Consolidation in human motor memory. Nature 382 (1996) 252-255
3. Caithness G., Osu R., Bays P., Chase H., Klassen J., Kawato M., Wolpert D.M., and Flanagan J.R. Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks. J. Neurosci. 24 (2004) 8662-8671
4. Chan S.S., and Moran D.W. Computational model of a primate arm: from hand position to joint angles, joint torques and muscle forces. J. Neural Eng. 3 (2006) 327-337
5. Coltz J.D., Johnson M.T., and Ebner T.J. Cerebellar Purkinje cell simple spike discharge encodes movement velocity in primates during visuomotor arm tracking. J. Neurosci. 19 (1999) 1782-1803
6. Conditt M.A., Gandolfo F., and Mussa-Ivaldi F.A. The motor system does not learn the dynamics of the arm by rote memorization of past experience. J. Neurophysiol. 78 (1997) 554-560
7. Criscimagna-Hemminger S.E., Donchin O., Gazzaniga M.S., and Shadmehr R. Learned dynamics of reaching movements generalize from dominant to nondominant arm. J. Neurophysiol. 89 (2003) 168-176
8. Donchin O., Francis J.T., and Shadmehr R. Quantifying generalization from trial-by-trial behavior of adaptive systems that learn with basis functions: theory and experiments in human motor control. J. Neurosci. 23 (2003) 9032-9045
9. Fine M.S., and Thoroughman K.A. Motor adaptation to single force pulses: sensitive to direction but insensitive to within-movement pulse placement and magnitude. J. Neurophysiol. 96 (2006) 710-720
10. Fine, M.S. and Thoroughman, K.A. (2007). The trial-by-trial transformation of error into sensorimotor adaptation changes with environmental dynamics. J. Neurophysiol., (published online July 5, 2007). doi:10.1152/jn.00196.2007.
11. Flash T., and Sejnowski T.J. Computational approaches to motor control. Curr. Opin. Neurobiol. 11 (2001) 655-662
12. Gandolfo F., Mussa-Ivaldi F.A., and Bizzi E. Motor learning by field approximation. Proc. Natl. Acad. Sci. U.S.A. 93 (1996) 3843-3846
13. Georgopoulos A.P., Schwartz A.B., and Kettner R.E. Neuronal population coding of movement direction. Science 233 (1986) 1416-1419
14. Gilbert P.F., and Thach W.T. Purkinje cell activity during motor learning. Brain Res. 128 (1977) 309-328
15. Gomi H., Shidara M., Takemura A., Inoue Y., Kawano K., and Kawato M. Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys I: simple spikes. J. Neurophysiol. 80 (1998) 818-831
16. Goodbody S.J., and Wolpert D.M. Temporal and amplitude generalization in motor learning. J. Neurophysiol. 79 (1998) 1825-1838
17. Hwang E.J., Donchin O., Smith M.A., and Shadmehr R. A gain-field encoding of limb position and velocity in the internal model of arm dynamics. PLoS Biol. 1 (2003) E25
18. Jordan M.I., and Rumelhart D.E. Forward models: supervised learning with a distal teacher. Cogn. Sci. Multidisciplinary J. 17 (1992) 463-496
19. Jordan M.I., and Wolpert D.M. Computational motor control. In: Gazzaniga M.S. (Ed). The Cognitive Neurosciences (1999), MIT Press, Cambridge, MA 601-620
20. Kawato M., Furukawa K., and Suzuki R. A hierarchical neural-network model for control and learning of voluntary movement. Biol. Cybern. 57 (1987) 169-185
21. Kawato M., and Gomi H. The cerebellum and VOR/OKR learning models. Trends Neurosci. 15 (1992) 445-453
22. Kitazawa S., Kimura T., and Yin P.B. Cerebellar complex spikes encode both destinations and errors in arm movements. Nature 392 (1998) 494-497
23. Kobayashi Y., Kawano K., Takemura A., Inoue Y., Kitama T., Gomi H., and Kawato M. Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys II: complex spikes. J. Neurophysiol. 80 (1998) 832-848
24. Lackner J.R., and Dizio P. Rapid adaptation to Coriolis force perturbations of arm trajectory. J. Neurophysiol. 72 (1994) 299-313
25. Li C.S., Padoa-Schioppa C., and Bizzi E. Neuronal correlates of motor performance and motor learning in the primary motor cortex of monkeys adapting to an external force field. Neuron 30 (2001) 593-607
26. Marr D.A. Theory of cerebellar cortex. J. Physiol. 202 (1969) 437-470
27. Moran D.W., and Schwartz A.B. Motor cortical representation of speed and direction during reaching. J. Neurophysiol. 82 (1999) 2676-2692
28. Poggio T. A theory of how the brain might work. Cold Spring Harb. Symp. Quant. Biol. 55 (1990) 899-910
29. Pouget A., and Snyder L.H. Computational approaches to sensorimotor transformations. Nat. Neurosci. 3 Suppl (2000) 1192-1198
30. Scheidt R.A., Dingwell J.B., and Mussa-Ivaldi F.A. Learning to move amid uncertainty. J. Neurophysiol. 86 (2001) 971-985
31. Scott S.H., and Kalaska J.F. Reaching movements with similar hand paths but different arm orientations I: activity of individual cells in motor cortex. J. Neurophysiol. 77 (1997) 826-852
32. Sergio L.E., Hamel-Paquet C., and Kalaska J.F. Motor cortex neural correlates of output kinematics and kinetics during isometric-force and arm-reaching tasks. J. Neurophysiol. 94 (2005) 2353-2378
33. Shadmehr R., and Brashers-Krug T. Functional stages in the formation of human long-term motor memory. J. Neurosci. 17 (1997) 409-419
34. Shadmehr R., and Moussavi Z.M. Spatial generalization from learning dynamics of reaching movements. J. Neurosci. 20 (2000) 7807-7815
35. Shadmehr R., and Mussa-Ivaldi F.A. Adaptive representation of dynamics during learning of a motor task. J. Neurosci. 14 (1994) 3208-3224
36. Shidara M., and Kawano K. Role of Purkinje cells in the ventral paraflocculus in short-latency ocular following responses. Exp. Brain Res. 93 (1993) 185-195
37. Sutton R.S., and Barto A.G. Reinforcement Learning: An Introduction (1998), MIT Press, Cambridge, MA
38. Thach W.T. Correlation of neural discharge with pattern and force of muscular activity, joint position, and direction of intended next movement in motor cortex and cerebellum. J. Neurophysiol. 41 (1978) 654-676
39. Thoroughman K.A., and Shadmehr R. Learning of action through adaptive combination of motor primitives. Nature 407 (2000) 742-747
40. Thoroughman K.A., and Taylor J.A. Rapid reshaping of human motor generalization. J. Neurosci. 25 (2005) 8948-8953
41. Tong C., Wolpert D.M., and Flanagan J.R. Kinematics and dynamics are not represented independently in motor working memory: evidence from an interference study. J. Neurosci. 22 (2002) 1108-1113
42. Wolpert D.M., and Ghahramani Z. Computational motor control. In: Gazzaniga M.S. (Ed). The Cognitive Neurosciences. 3rd Ed. (2004), MIT Press, Cambridge, MA 485-494